Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

Abstract: Multi-link operation (MLO) is a key feature introduced in the IEEE 802.11be (Wi-Fi 7) standard to support the quality of service (QoS) demands of emerging Internet of Things (IoT) wireless ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

With its new OASIS 3.0 home energy management system (HEMS), unveiled at Intersolar 2026 in Munich last week, EcoFlow targets ...

Wave energy has long been seen as a promising source of clean electricity. The ocean is always moving, and that motion ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Solar cells and photocatalysts can be surprisingly inefficient. Despite light consisting of many wavelengths, the range that even highly efficient devices use is limited. Other wavelengths, especially ...

The agri-food sector represents one of the largest global consumers of energy across its entire value chain—from cultivation ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...